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IBM and Cisco collaborate for IoT analytics

August 23, 2016

Insights & Analytics

IBM is collaborating with Cisco to provide customers with IBM’s Watson IoT and business analytics technologies and Cisco’s edge analytics capabilities.

Certain businesses are unable to benefit from the interconnectivity of devices and sensors, which generate real-time data, and the storage capacity of cloud computing. This is on account of their presence in remote and autonomous locations. However, the new IBM and Cisco partnership aims to change this.

The companies aim to make collaboration simpler by combining IBM’s advanced analytics, Watson, and email and social offerings with Cisco’s collaboration solutions, including business messaging, meeting and calling offerings. The two companies will design joint solutions that take advantage of all types of data to help people get more done, in less time. This will be achieved by providing the right insights in the right context – served up through the tools, apps, documents, or actions needed at any given moment based on an individual employee’s role, historical work patterns, and current work assignments.

The goal is for the combined IBM and Cisco offerings to be integrated to connect seamlessly on behalf of users to complete mundane tasks such as scheduling and note-taking, and proactively bring people and content together in the context of specific tasks.

Mala Anand, senior vice president of the Cisco data and analytics platforms group, said: “Together, Cisco and IBM are positioned to help organisations make real-time informed decisions based on business-critical data that was often previously undetected and overlooked. With the vast amount of data being created at the edge of the network, using existing Cisco infrastructure to perform streaming analytics is the perfect way to cost-effectively obtain real-time insights.”

According to Cisco’s press release, ‘The joint solutions will utilize IBM Watson and Connections APIs as well as Cisco Spark and WebEx APIs. This allows solutions to take action on routine tasks like prioritizing complex and chaotic collaboration and communication environments and connecting users to powerful cognitive sources of expertise in the moment they need them.’